Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 140+ brilliant minds from over 20 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
One of the goals of the Machine Learning & Optimization team is to estimate efficiently the physical parameters of a cat qubit. This involves designing a physical model, an optimization routine, and a strategy for selecting the next measurement to perform. This strategy may either be a model-based, interpretable routine or a model-free, high-performance neural network.
The goal of the internship is to study and optimise this measurement selection process.
This internship offers a unique opportunity to develop advanced machine learning algorithms and test them directly on quantum hardware. You will collaborate with a young, dynamic and talented team with a wide range of expertise. You’ll gain experience in both research and the practical implementation of these algorithms in real-world quantum systems.
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Responsibilities:At Alice & Bob you will:
- Become familiar with the physical model and basic experiment design procedures
- Improve non-convex optimization techniques for estimating physical parameters
- Develop a policy network for experiment design trained on simulations
- Implement your code in a high-performance tensor library
- Test your method on Alice & Bob's quantum hardware
Requirements:
- Currently pursuing a Master’s degree in Physics, Applied Mathematics, Machine Learning, Control, or a related field.
- Strong academic background in at least one of the following: quantum physics, optimization, control, scientific computing, or mathematical modeling.
- Solid Python programming skills.
- Experience working with numerical simulations, data analysis, or computational research projects.
- Fluency in English, written and spoken.
Nice to have:
- Familiarity with tools such as PyTorch, JAX, or similar scientific/ML frameworks.
- Exposure to open quantum systems and superconducting circuits.
- A hands-on mindset: you enjoy testing ideas, comparing approaches, and learning from what does and does not work.
- The ability to move comfortably between theory, experiment, code, and collaboration with different teams.
We know great candidates do not always match every single bullet point. If this role genuinely excites you, we would love to hear from you!
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Benefits:
- 1 day off per month
- Half of transportation cost coverage (as per French law)
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.
